Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption:
Using data assimilation (DA) to improve model forecast accuracy is a powerful approach that requires available observations. Infrared satellite measurements of volcanic ash mass loadings are often used as input observations for the assimilation scheme. However, because these primary satellite-retrie...
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fttno:oai:tudelft.nl:uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4 2023-05-15T16:09:30+02:00 Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption: Fu, G. Prata, F. Xiang Lin, H. Heemink, A. Segers, A. Lu, S. 2017-01-01 http://resolver.tudelft.nl/uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4 en eng Copernicus GmbH uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4 745606 http://resolver.tudelft.nl/uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4 Atmospheric Chemistry and Physics, 2, 17, 1187-1205 Environment Environment & Sustainability Urbanisation 2015 Urban Mobility & Environment CAS - Climate Air and Sustainability ELSS - Earth Life and Social Sciences article 2017 fttno 2022-04-10T16:47:26Z Using data assimilation (DA) to improve model forecast accuracy is a powerful approach that requires available observations. Infrared satellite measurements of volcanic ash mass loadings are often used as input observations for the assimilation scheme. However, because these primary satellite-retrieved data are often two-dimensional (2-D) and the ash plume is usually vertically located in a narrow band, directly assimilating the 2-D ash mass loadings in a three-dimensional (3-D) volcanic ash model (with an integral observational operator) can usually introduce large artificial/spurious vertical correlations. In this study, we look at an approach to avoid the artificial vertical correlations by not involving the integral operator. By integrating available data of ash mass loadings and cloud top heights, as well as data-based assumptions on thickness, we propose a satellite observational operator (SOO) that translates satellite-retrieved 2-D volcanic ash mass loadings to 3-D concentrations. The 3-D SOO makes the analysis step of assimilation comparable in the 3-D model space. Ensemble-based DA is used to assimilate the extracted measurements of ash concentrations. The results show that satellite DA with SOO can improve the estimate of volcanic ash state and the forecast. Comparison with both satellite-retrieved data and aircraft in situ measurements shows that the effective duration of the improved volcanic ash forecasts for the distal part of the Eyjafjallajökull volcano is about 6h. © 2017 The Author(s). Article in Journal/Newspaper Eyjafjallajökull TU Delft: Institutional Repository (Delft University of Technology) |
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Open Polar |
collection |
TU Delft: Institutional Repository (Delft University of Technology) |
op_collection_id |
fttno |
language |
English |
topic |
Environment Environment & Sustainability Urbanisation 2015 Urban Mobility & Environment CAS - Climate Air and Sustainability ELSS - Earth Life and Social Sciences |
spellingShingle |
Environment Environment & Sustainability Urbanisation 2015 Urban Mobility & Environment CAS - Climate Air and Sustainability ELSS - Earth Life and Social Sciences Fu, G. Prata, F. Xiang Lin, H. Heemink, A. Segers, A. Lu, S. Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption: |
topic_facet |
Environment Environment & Sustainability Urbanisation 2015 Urban Mobility & Environment CAS - Climate Air and Sustainability ELSS - Earth Life and Social Sciences |
description |
Using data assimilation (DA) to improve model forecast accuracy is a powerful approach that requires available observations. Infrared satellite measurements of volcanic ash mass loadings are often used as input observations for the assimilation scheme. However, because these primary satellite-retrieved data are often two-dimensional (2-D) and the ash plume is usually vertically located in a narrow band, directly assimilating the 2-D ash mass loadings in a three-dimensional (3-D) volcanic ash model (with an integral observational operator) can usually introduce large artificial/spurious vertical correlations. In this study, we look at an approach to avoid the artificial vertical correlations by not involving the integral operator. By integrating available data of ash mass loadings and cloud top heights, as well as data-based assumptions on thickness, we propose a satellite observational operator (SOO) that translates satellite-retrieved 2-D volcanic ash mass loadings to 3-D concentrations. The 3-D SOO makes the analysis step of assimilation comparable in the 3-D model space. Ensemble-based DA is used to assimilate the extracted measurements of ash concentrations. The results show that satellite DA with SOO can improve the estimate of volcanic ash state and the forecast. Comparison with both satellite-retrieved data and aircraft in situ measurements shows that the effective duration of the improved volcanic ash forecasts for the distal part of the Eyjafjallajökull volcano is about 6h. © 2017 The Author(s). |
format |
Article in Journal/Newspaper |
author |
Fu, G. Prata, F. Xiang Lin, H. Heemink, A. Segers, A. Lu, S. |
author_facet |
Fu, G. Prata, F. Xiang Lin, H. Heemink, A. Segers, A. Lu, S. |
author_sort |
Fu, G. |
title |
Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption: |
title_short |
Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption: |
title_full |
Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption: |
title_fullStr |
Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption: |
title_full_unstemmed |
Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption: |
title_sort |
data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 eyjafjallajökull volcanic eruption: |
publisher |
Copernicus GmbH |
publishDate |
2017 |
url |
http://resolver.tudelft.nl/uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4 |
genre |
Eyjafjallajökull |
genre_facet |
Eyjafjallajökull |
op_source |
Atmospheric Chemistry and Physics, 2, 17, 1187-1205 |
op_relation |
uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4 745606 http://resolver.tudelft.nl/uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4 |
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1766405379902668800 |